Search Results - "Bennamoun, Mohammed"

Deep Learning for 3D Point Clouds: A Survey by Guo, Yulan, Wang, Hanyun, Hu, Qingyong, Liu, Hao, Liu, Li, Bennamoun, Mohammed

“…Point cloud learning has lately attracted increasing attention due to its wide applications in many areas, such as computer vision, autonomous driving, and…”
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Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era by Han, Xian-Feng, Laga, Hamid, Bennamoun, Mohammed

“…3D reconstruction is a longstanding ill-posed problem, which has been explored for decades by the computer vision, computer graphics, and machine learning…”
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Learning Clip Representations for Skeleton-Based 3D Action Recognition by Qiuhong Ke, Bennamoun, Mohammed, Senjian An, Sohel, Ferdous, Boussaid, Farid

“…This paper presents a new representation of skeleton sequences for 3D action recognition. Existing methods based on hand-crafted features or recurrent neural…”
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Rotational Projection Statistics for 3D Local Surface Description and Object Recognition by Guo, Yulan, Sohel, Ferdous, Bennamoun, Mohammed, Lu, Min, Wan, Jianwei

“…Recognizing 3D objects in the presence of noise, varying mesh resolution, occlusion and clutter is a very challenging task. This paper presents a novel method…”
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Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data by Khan, Salman H., Hayat, Munawar, Bennamoun, Mohammed, Sohel, Ferdous A., Togneri, Roberto

“…Class imbalance is a common problem in the case of real-world object detection and classification tasks. Data of some classes are abundant, making them an…”
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Biometrics recognition using deep learning: a survey by Minaee, Shervin, Abdolrashidi, Amirali, Su, Hang, Bennamoun, Mohammed, Zhang, David

“…In the past few years, deep learning-based models have been very successful in achieving state-of-the-art results in many tasks in computer vision, speech…”
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A Comprehensive Performance Evaluation of 3D Local Feature Descriptors by Guo, Yulan, Bennamoun, Mohammed, Sohel, Ferdous, Lu, Min, Wan, Jianwei, Kwok, Ngai Ming

“…A number of 3D local feature descriptors have been proposed in the literature. It is however, unclear which descriptors are more appropriate for a particular…”
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A New Representation of Skeleton Sequences for 3D Action Recognition by Qiuhong Ke, Bennamoun, Mohammed, Senjian An, Sohel, Ferdous, Boussaid, Farid

“…This paper presents a new method for 3D action recognition with skeleton sequences (i.e., 3D trajectories of human skeleton joints). The proposed method first…”
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RGB-D Object Recognition and Grasp Detection Using Hierarchical Cascaded Forests by Asif, Umar, Bennamoun, Mohammed, Sohel, Ferdous A.

“…This paper presents an efficient framework to perform recognition and grasp detection of objects from RGB-D images of real scenes. The framework uses a novel…”
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Automatic Shadow Detection and Removal from a Single Image by Khan, Salman H., Bennamoun, Mohammed, Sohel, Ferdous, Togneri, Roberto

“…We present a framework to automatically detect and remove shadows in real world scenes from a single image. Previous works on shadow detection put a lot of…”
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Soft Exemplar Highlighting for Cross-View Image-Based Geo-Localization by Guo, Yulan, Choi, Michael, Li, Kunhong, Boussaid, Farid, Bennamoun, Mohammed

“…The goal of ground-to-aerial image geo-localization is to determine the location of a ground query image by matching it against a reference database consisting…”
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Trends in Computer-Aided Manufacturing in Prosthodontics: A Review of the Available Streams by Abduo, Jaafar, Lyons, Karl, Bennamoun, Mohammed

“…In prosthodontics, conventional methods of fabrication of oral and facial prostheses have been considered the gold standard for many years. The development of…”
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Transport of pilgrims during Hajj: Evidence from a discrete event simulation study by Owaidah, Almoaid, Olaru, Doina, Bennamoun, Mohammed, Sohel, Ferdous, Khan, Nazim

“…Hajj, the Muslim pilgrimage, is a large mass gathering event that involves performing rituals at several sites on specific days and times in a fixed order,…”
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Applications of machine learning to undifferentiated chest pain in the emergency department: A systematic review by Stewart, Jonathon, Lu, Juan, Goudie, Adrian, Bennamoun, Mohammed, Sprivulis, Peter, Sanfillipo, Frank, Dwivedi, Girish

“…Chest pain is amongst the most common reason for presentation to the emergency department (ED). There are many causes of chest pain, and it is important for…”
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A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification by Hayat, Munawar, Khan, Salman H., Bennamoun, Mohammed, An, Senjian

“…Unlike standard object classification, where the image to be classified contains one or multiple instances of the same object, indoor scene classification is…”
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Western Australian medical students’ attitudes towards artificial intelligence in healthcare by Stewart, Jonathon, Lu, Juan, Gahungu, Nestor, Goudie, Adrian, Fegan, P. Gerry, Bennamoun, Mohammed, Sprivulis, Peter, Dwivedi, Girish

“…Introduction Surveys conducted internationally have found widespread interest in artificial intelligence (AI) amongst medical students. No similar surveys have…”
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Tensor pooling-driven instance segmentation framework for baggage threat recognition by Hassan, Taimur, Akçay, Samet, Bennamoun, Mohammed, Khan, Salman, Werghi, Naoufel

“…Automated systems designed for screening contraband items from the X-ray imagery are still facing difficulties with high clutter, concealment, and extreme…”
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Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats by Hassan, Taimur, Shafay, Muhammad, Akçay, Samet, Khan, Salman, Bennamoun, Mohammed, Damiani, Ernesto, Werghi, Naoufel

“…Screening baggage against potential threats has become one of the prime aviation security concerns all over the world, where manual detection of prohibited…”
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Keypoint Detection and Local Feature Matching for Textured 3D Face Recognition by Mian, Ajmal S., Bennamoun, Mohammed, Owens, Robyn

“…Holistic face recognition algorithms are sensitive to expressions, illumination, pose, occlusions and makeup. On the other hand, feature-based algorithms are…”
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Resources for image-based high-throughput phenotyping in crops and data sharing challenges by Danilevicz, Monica F, Bayer, Philipp E, Nestor, Benjamin J, Bennamoun, Mohammed, Edwards, David

“…High-throughput phenotyping (HTP) platforms are capable of monitoring the phenotypic variation of plants through multiple types of sensors, such as red green…”
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